Melgarejo Miguel, Obregon Nelson
Laboratory for Automation and Computational Intelligence, Universidad Distrital Francisco José de Caldas, Bogotá 110311, Colombia.
Institute for Geophysics, Pontifical Xaverian University, Bogotá 110311, Colombia.
Entropy (Basel). 2018 Nov 14;20(11):874. doi: 10.3390/e20110874.
Information production in both space and time has been highlighted as one of the elements that shapes the footprint of complexity in natural and socio-technical systems. However, information production in urban crime has barely been studied. This work copes with this problem by using multifractal analysis to characterize the spatial information scaling in urban crime reports and nonlinear processing tools to study the temporal behavior of this scaling. Our results suggest that information scaling in urban crime exhibits dynamics that evolve in low-dimensional chaotic attractors, and this can be observed in several spatio-temporal scales, although some of them are more favorable than others. This evidence has practical implications in terms of defining the characteristic scales to approach urban crime from available data and supporting theoretical perspectives about the complexity of urban crime.
在空间和时间上的信息生成已被视为塑造自然和社会技术系统中复杂性足迹的要素之一。然而，城市犯罪中的信息生成几乎未得到研究。这项工作通过使用多重分形分析来刻画城市犯罪报告中的空间信息尺度，并使用非线性处理工具来研究这种尺度的时间行为，从而解决了这一问题。我们的结果表明，城市犯罪中的信息尺度呈现出在低维混沌吸引子中演化的动态，并且这在几个时空尺度上都能观察到，尽管其中一些尺度比其他尺度更有利。这一证据在从可用数据界定用于研究城市犯罪的特征尺度以及支持有关城市犯罪复杂性的理论观点方面具有实际意义。
